Gemini 4 Carbon
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Gemini 4 Carbon

gemini-4-carbonllms.txt
Google
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Gemini 4 Carbon is Google DeepMind’s multimodal model for complex coding, long-running agent workflows, and cybersecurity defense. Building on Gemini 4 Argon, it improves software engineering, vulnerability detection and remediation, multimodal understanding, and execution across challenging, multi-step tasks.

Pricing

PricingCache ReadInput VideoInput AudioWeb Search
$2$10
$0.1/M tokens$2/M tokens$2/M tokens$0.014/request

Modalności wejściowe

  • Text
  • Vision
  • Audio
  • Video
  • PDF

Modalności wyjściowe

  • Text

Context length

  • 1.05M tokens

Max output

  • 65.5K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Structured decision
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Dostawcy

VertexAI gemini-4-carbon
Pricing$2$10
Cache Read$0.1/M tokens
Input Video$2/M tokens
Input Audio$2/M tokens
Web Search$0.014/request
PrecisionⓘNot Disclosed
Latency75.7S
Throughput25.4TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
98.86% uptime today
Google AI Studio gemini-4-carbon
Pricing$2$10
Cache Read$0.1/M tokens
Input Video$2/M tokens
Input Audio$2/M tokens
Web Search$0.014/request
PrecisionⓘNot Disclosed
Latency13.4S
Throughput75.9TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
99.93% uptime today

Performance for gemini-4-carbon

Uptime to odsetek udanych żądań w ciągu ostatnich 72 godzin. AIHubMix stale monitoruje każdego dostawcę i automatycznie ponawia żądanie u kolejnego najlepszego dostawcy, gdy któryś zwraca błąd lub odpowiada zbyt wolno; Latency to całkowity czas obsługi żądania (im niżej, tym lepiej); Throughput to szybkość generowania tekstu przez model (tokeny na sekundę; im wyżej, tym lepiej).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="gemini-4-carbon",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Gemini 4 Carbon?

Gemini 4 Carbon is Google DeepMind’s multimodal model for complex coding, long-running agent workflows, and cybersecurity defense. Building on Gemini 4 Argon, it improves software engineering, vulnerability detection and remediation, multimodal understanding, and execution across challenging, multi-step tasks.